---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_374
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_374

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4657
- Accuracy: 0.9752
- 1-f1: 0.6441
- 1-recall: 0.6552
- 1-precision: 0.6333
- Balanced Acc: 0.8209

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6468        | 1.0   | 53   | 0.3966          | 0.9764   | 0.4737 | 0.3103   | 1.0         | 0.6552       |
| 0.1064        | 2.0   | 106  | 0.2097          | 0.9729   | 0.6667 | 0.7931   | 0.575       | 0.8862       |
| 0.0361        | 3.0   | 159  | 0.4598          | 0.9693   | 0.5185 | 0.4828   | 0.56        | 0.7347       |
| 0.0022        | 4.0   | 212  | 0.6683          | 0.9729   | 0.4889 | 0.3793   | 0.6875      | 0.6866       |
| 0.0019        | 5.0   | 265  | 0.4657          | 0.9752   | 0.6441 | 0.6552   | 0.6333      | 0.8209       |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3